Cloud Platform Engineering Jobs

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a skilled and innovative Application Security Engineer to join our technology-driven company. In this role, you will be responsible for ensuring the security and integrity of our cloud-native applications and systems throughout the software development lifecycle, with a particular focus on code security, CI/CD pipelines, and emerging AI technologies. RESPONSIBILITIES: Conduct in-depth code reviews and static analysis to identify and mitigate security vulnerabilities in our applications Design and implement secure coding guidelines and best practices for development teams Collaborate closely with development teams to integrate security practices throughout the CI/CD pipeline Perform threat modeling and risk assessments for applications, developing mitigation strategies for potential risks Manage vulnerability tracking and remediation efforts, providing guidance to development teams Support incident response activities related to application security Stay current on emerging security threats and trends in cloud-native technologies and AI, continuously enhancing our security measures Evaluate and secure software supply chains, including producing and

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. ROLE SUMMARY Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets WHAT EXCITES YOU Transforming large unstructured, data sets into valuable investment research inputs Learning and working with industry-leading cloud-computing technologies Speaking wit

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. Gong is seeking a highly motivated DevOps Engineering Manager - dedicated to developing our DevOps team in Dublin. This is a new team being built in our Dublin R&D hub. We’re looking for a hands-on and strategic DevOps Engineering Manager to lead and scale our Dublin-based DevOps function. You’ll start by managing a small team, focused on DevOps tasks in the products that Dublin teams are responsible for. You’ll be pivotal in designing, implementing and maintaining our cloud infrastructure, including, Features, Day2 (maintenance), Security-related and FinOps parts of it. You’ll partner closely with our bigger DevOps group, Engineering, Security, and IT teams globally to ensure Gong’s systems are secure, scalab

The Opportunity Join Enigma's Growth & KYB Team at a pivotal moment as we continue to create sales and marketing solutions for small businesses. We're seeking an experienced Senior Software Engineer to develop and build innovative data products and systems that directly impact our customers and accelerate our growth. Your work will influence decisions for companies that employ half the U.S. workforce, creating tremendous value for our clients. The Role As a member of the Growth & KYB Team, you will: Design, develop and deliver data products that solve critical customer pain points and build scalable, high-quality systems that deliver rich interactions with our data. Engage with software engineers, data scientists, and product managers to create experiences that move a customer from discovery to evaluation to purchase. Analyze and extract value from data at scale, building efficient, maintainable production-grade data solutions. Create scalable and highly maintainable systems deployed in cloud environments. Own architecture and design decisions as well as hands-on implementation, ensuring that customer experiences are compelling and have low costs of ownership. What You’ll Do Operates with a bias for action and knows how to deliver value in the short, medium, and long term. Loves interacting with product teams and works hard to solve customer problems in a repeatable way. Adopts a principled, metrics-driven approach to difficult data problems and demonstrates excellence in their analytics and engineering craft. Operates transparently, collaboratively, and with low ego—loves learning from others and having their ideas questioned and challenged. Has a “can-do” attitude and thrives on a highly collaborative, cross-functional team that plays a critical role in the company’s success. Is eager to own architecture and design decisions as well as hands-on implementation. What Makes This Role Exciting? Impact : Develop products that take an innovative data-first appro

About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI! Responsibilities Design and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale. Develop and optimize runtime inference services for large-scale AI applications. Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. Conduct design and code reviews to ensure high standards of quality. Create services, tools, and developer documentation to support the inference engine. Implement robust and fault-tolerant systems for data ingestion and processing. Requirements 3+ years of experience writing high-performance, well-tested, production-quality code. Proficiency with Python and PyTorch. Demonstrated experience in building high performance libraries and tooling. Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale. Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum Preferred: Knowledge of AI inference techniques such as speculative decoding. Preferred: Knowledge of CUDA/Triton programming. Nice to have: Knowledge of Rust, Cython and compilers. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference th

The team One of the most versatile teams of Artefact, our growing Data & Analytics team are present in many aspects of our data consulting projects: data collection, processing, and visualisation; but also giving insights and inputs on the business and digital media aspects. Half of the team also works as the master of data solutions for our clients: dashboarding, business intelligence or web analysis. Mission As a Data analyst, you will be conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data. It is up to you to extract valuable insights from our clients’ marketing-related data sources and to design dashboards for marketing decision-making while taking into account the business needs. Depends on the mission(s), you might also find yourself accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring. Desirable skills If: You have experience or have knowledge in data driven environment Master of Data collection and data visualisation tools, programming in SQL or Python are your jam; Some of these speak to you: Cloud technologies, API connection, ETL, Advertising tool… Or you are interested in learning those skills and use it in your work, contact us! Why should you join us Artefact is the place to be: come and build the future of data and marketing Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other. Come join us!

About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Requirements Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. Knowledge of ML/AI applications and models Knowledge of performance profiling and optimization tools for GPU programming Excellent problem-solving and analytical skills Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities Optimize and fine-tune GPU code to achieve better performance and scalability Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems Stay up-to-date with the latest advancements in GPU programming techniques and technologies About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competi

Who are we ? Artefact is a new generation of a data service provider, specialising in data consulting and data-driven information system, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and information system are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. To support and develop its growth, Artefact Morocco is looking for the next talents of the data division to join the engineering team. Organized in feature team, you will work in project mode (ou pizza team) to advise your clients on their IA problematics, machine learning and Big Data. The projects you will work on can go from the migration of infrastructure to the Cloud (Deezer) to the construction of a predictive model of the water rises (Greenpeace). Your responsibilities: Innovate . You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovatives solutions. Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, while also optimising the performance and scalability. Train. You will work in a collaborative team which champions knowledge sharing. You will coac

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn We are looking for an Anaplan Consultant to join our Anaplan Delivery Team! As an Anaplan Consultant , you will help some of the world’s most well-known organizations solve business challenges through Enterprise Performance Management. With the opportunity to build your Anaplan expertise by obtaining recognized certifications, you will implement Anaplan as a ‘Best in Cloud’ solution for Finance, Supply Chain and Sales. Ideal candidates will be able to: Interact directly with clients to extract their needs Analyze customer needs, design, configure, and test customer solutions Resolve technical issues through debugging, research, and investigation Assist with production support issues as required Maintain effective working relationships with team members Mentor Analysts with domain knowledge and configuration questions Assist with configuration reviews to provide useful feedback Contribute to project and team documentation Deliver Anaplan training to our clients Stay current with latest Anaplan technologies and best practices within the industry Qualifications: 1-5 years of experience in Consulting or Financial Reporting and Analysis Strong knowledge of Excel. Including an understanding of how to develop macros, and model large data sets utilizing Lookups and SumIf functions Microsoft Office Suite expertise Strong understandin

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn We are looking for an Anaplan Consultant to join our Anaplan Delivery Team! As an Anaplan Consultant , you will help some of the world’s most well-known organizations solve business challenges through Enterprise Performance Management. With the opportunity to build your Anaplan expertise by obtaining recognized certifications, you will implement Anaplan as a ‘Best in Cloud’ solution for Finance, Supply Chain and Sales. Ideal candidates will be able to: Interact directly with clients to extract their needs Analyze customer needs, design, configure, and test customer solutions Resolve technical issues through debugging, research, and investigation Assist with production support issues as required Maintain effective working relationships with team members Mentor Analysts with domain knowledge and configuration questions Assist with configuration reviews to provide useful feedback Contribute to project and team documentation Deliver Anaplan training to our clients Stay current with latest Anaplan technologies and best practices within the industry Qualifications: 1-5 years of experience in Consulting or Financial Reporting and Analysis Strong knowledge of Excel. Including an understanding of how to develop macros, and model large data sets utilizing Lookups and SumIf functions Microsoft Office Suite expertise Strong understandin

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role : You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you. Role: ALDS Mandate Skills & Competencies: Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and c

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Task of the role Responsible for day-to-day customer care and administration of Appier’s products. Respond to escalated technical questions about Appier’s products globally by using written communication channels. Troubleshoot technical issues and solve the issues by close communication with developers. Develop internal tools and scripts to streamline operations and visualize/analyze data. Provide advice and solution of Appier’s products to customers and colleagues from technical aspects, which may include AI-powered solutions with help from the data science team. Contribute to new feature enhancements. (plus) Strong oral and written communication skills in Japanese or Korean or English. (optional) Analyze data and give good insights to customers and colleagues. (optional) Proactively conduct close communication with customers and understand underlying requirements to provide deliverable solutions. (optional) Proactively translate business requirements and consolidate into product features for product developments. About you [Essential] Good understanding of programming concepts (such as Python or JavaScript) to assist with troubleshooting and automation as needed. Familiarity with data engineering workflows (e.g., ETL processes, data storage solutions) and ability to work with related tools. Experience navigating and troubleshooting cloud environments. Strong oral and written communication skills in English (professional level). Ability to use AI tools in daily works, prompt engineering or troubleshootings. Ability to research, an

Présentation du poste : Au sein de l'équipe Data Science d'Artefact, vous rejoignez une communauté d'experts en IA et Data en tant que Manager et référent technique. Rattaché(e) au CTO, vous jouez un rôle central dans le cadrage, la conception, le déploiement et le passage à l'échelle de solutions d'IA à fort impact business pour nos clients grands comptes. Ce qu’on attend de vous : En tant que Manager, vous garantissez l'excellence technique et la valeur délivrée sur vos projets (ML, GenAI, MLOps) tout en assurant l'encadrement, le coaching et le développement de carrière des Data Scientists. Vous êtes l'interlocuteur privilégié des décideurs (C-level), participez au rayonnement de l'expertise Artefact et pilotez la croissance de l'équipe. Vos missions : Piloter des projets IA de bout en bout : du cadrage des cas d'usage avec les parties prenantes business jusqu'à la mise en production de solutions mesurables. Définir et garantir l'architecture technique des solutions : choix méthodologiques, validation de la donnée, industrialisation en environnement Cloud et application des meilleures pratiques MLOps & Software Engineering. Accompagner, mentorer et faire grandir les Data Scientists : suivi de performance, planes de développement de carrière, staffing et maintien du bien-être de l'équipe au quotidien. Être le référent technique et partenaire de confiance des clients : vulgariser les concepts IA complexes, évaluer les risques, le ROI et la faisabilité auprès des équipes C-level et opérationnelles. Développer l'expertise technique interne : tester de nouvelles approches IA/GenAI, créer des accélérateurs réutilisables (outils, modules) et maintenir une veille technologique active. Inculquer une culture de la rigueur et de la collaboration : organiser des revues de code, des ateliers de partage de connaissances et favoriser les synergies entre Data Scientists, Data Engineers et équipes métier. Profil recherché : Expérience & Leadership : 5 ans ou plus d'expéri

Présentation du poste : Au sein de l'équipe Data Science d'Artefact, vous rejoignez une communauté d'experts en Data & IA intervenant auprès de grands comptes mondiaux. Dans un contexte de forte accélération autour de la GenAI et du Machine Learning, vous jouez un rôle clé dans la conception, la livraison et le passage à l'échelle de solutions IA à fort impact business. Ce qu’on attend de vous : En tant que profil Senior, vous garantissez l'excellence technique sur vos projets (robustesse, MLOps, passage en production) tout en servant de référent auprès de nos clients. Vous jouez un rôle moteur dans l'équipe en mentorant des Data Scientists plus juniors et en participant au développement d'accélérateurs internes. Vos missions : Piloter la livraison de projets IA de bout en bout : du cadrage des cas d'usage avec les équipes métier jusqu'à la mise en production de solutions ML ou GenAI mesurables. Concevoir des architectures et pipelines IA robustes et scalables en appliquant les meilleures pratiques de Software Engineering et de MLOps (tests, déploiement, maintenabilité). Servir de conseiller de confiance auprès des clients : vulgariser les approches IA de façon claire et pragmatique, évaluer la faisabilité, les risques et le ROI. Mentorer et faire monter en compétences les Data Scientists juniors à travers des retours constructifs, des revues de code et du coaching au quotidien. Contribuer au développement de l'expertise interne : créer des outils/accélérateurs réutilisables, animer des ateliers de partage et maintenir une veille technologique active. Explorer et appliquer des techniques IA avancées pour résoudre des problématiques complexes et non défrichées. Profil recherché : Expérience & Mindset : 3 ans ou plus d'expérience concrète dans le développement et le déploiement de solutions Data/IA en environnement Cloud. Expertise Technique : Solides compétences en Machine Learning appliqué, IA Générative, ainsi qu'une maîtrise des principes de Software Engin

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Job Location: 135 Constitution Drive, Menlo Park, CA 94025. ELT: Data Analytics and AI REQ ID: ASHREQ-8304 Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies. AS A BUSINESS INTELLIGENCE ANALYST, PRODUCT FINANCE (MULTIPLE POSITIONS AVAILABLE) AT SNOWFLAKE, YOU WILL: Serve on the Finance BI team and partner with Product Finance to deliver business intelligence reporting that supports Engineering and Finance teams. Product Finance analyzes costs associated with the development of Snowflake’s product, in particular, cloud spend. Develop applications and manage data pipelines that power financial reporting, streamline QBR workflows, and surface actionable insights